Market competitive salary. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. Full-time employees are also eligible for a competitive equity package, and benefits.

About PayZen

PayZen is on a mission to bring financial health to healthcare. Our products improve both access and affordability for patients and cash flow & administrative complexity for medical providers. We are trusted by a rapidly growing number of health systems, hospitals, and physician groups and are backed by leading venture capital investors, including NEA, SignalFire, Viola Group, and 7Wire Ventures.

Responsibilities

• Lead and grow the data team in our San Francisco office, ensuring a high-performing data function that supports PayZen’s mission.

• Develop and execute a comprehensive data strategy, integrating with Flywire, EpicHealth, Peach, major hospitals, and other key healthcare providers.

• Oversee data architecture, pipelines, and governance to ensure accuracy, security, and compliance with healthcare regulations (e.g., HIPAA, PCI-DSS) and financial services compliance related to patient payment information, personally identifiable information (PII), and PayZen-provided credit card data.

• Build and scale data platforms that enable real-time and batch processing of patient payment data across multiple healthcare providers.

• Deliver business intelligence and predictive analytics to drive decision-making for leadership and improve patient financial outcomes.

• Collaborate closely with Product, Engineering, and Operations to ensure data-driven insights power key business decisions.

• Establish KPIs and performance metrics to measure impact and inform strategy.

• Ensure scalability of data infrastructure to support business growth and regulatory compliance.

Requirements

• 7+ years of experience in data engineering roles

• 3+ years of experience in data engineering leadership roles

• Hands-on experience with SQL, Python, or other programming languages for data processing and analytics.

• Expertise in data architecture, engineering, and analytics, with experience in modern cloud and data stack technologies (e.g., Snowflake, Redshift, Databricks, dbt, Airflow, Kafka, KPI metrics, reporting. Sigma, etc.).

• An understanding of healthcare payment ecosystems and experience integrating with systems like EpicHealth, Flywire, Peach, and major hospitals and healthcare providers is definitely a plus.

• Knowledge of regulatory and security frameworks relevant to healthcare data and financial services compliance, including protections around patient payment information and credit card security.

• Excellent communication and stakeholder management skills, with the ability to translate complex data insights into business impact.

• A strategic mindset with the ability to execute and deliver measurable results in a fast-paced environment.

• Passion for driving impact through data and analytics in the healthcare and fintech space.

Compensation Range: $210K - $248K